Skilled Data Analyst with half year of experience in cleaning and analyzing business data using Pandas and SQL, creating dashboards to track KPIs, and presenting actionable insights to stakeholders, skilled in Python, da…
Skilled Data Analyst with half year of experience in cleaning and analyzing business data using Pandas and SQL, creating dashboards to track KPIs, and presenting actionable insights to stakeholders, skilled in Python, data visualization, and statistical analysis, Data Structures with a strong focus on data quality and clear communication
Developed and deployed data-driven dashboards using Power BI for performance tracking and reporting.
Performed data extraction, cleaning, and transformation using Python, Pandas, and Power Quires.
Wrote SQL queries and joins to retrieve, validate, and prepare data for analytics work flow.
Identified key trends and outliers through EDA, which informed strategic decisions.
Created dashboards (KPI and Dax measures) for tracking revenue, expenses, and other key financial indicators for Lyros Technologies.
Used data to predict future financial performance and identify potential risks.
Developed and deployed data-driven dashboards using Power BI for performance tracking and reporting, Performed data extraction, cleaning, and transformation using Python, Pandas, and Power Quires, Wrote SQL queries and joins to retrieve, validate, and prepare data for analytics workflow, Identified key trends and outliers through EDA, which informed strategic decisions, Created dashboards (KPI and Dax measures) for tracking revenue, expenses, and other key financial indicators for Lyros Technologies, Use data to predict future financial performance and identify potential risks
Developed and deployed data-driven dashboards using Power BI for performance tracking and reporting. • Performed data extraction, cleaning, and transformation using Python, Pandas, and Power Quires. • Wrote SQL queries and joins to retrieve, validate, and prepare data for analytics Work flow. • Identified key trends and outliers through EDA, which informed strategic decisions • Created dashboards (KPI and Dax measures)for tracking revenue, expenses, and other key financial indicators for Lyros Technologies. • Use data to predictfuture financial performance and identify potentialrisks.
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